On-Request Wireless Charging and Partial Computation Offloading In Multi-Access Edge Computing Systems
On-Request Wireless Charging and Partial Computation Offloading In Multi-Access Edge Computing Systems
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DOI：
10.1109/twc.2021.3075920
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发表时间：
2020-12
影响因子：
10.4
通讯作者：
Rafia Malik;M. Vu
中科院分区：
文献类型：
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作者：
Rafia Malik;M. Vu
边缘网络中的无线充电与计算卸载相结合，为在用户设备上实现耗电和计算密集型应用提供了一种有前途的解决方案。我们考虑一个多接入边缘计算（MEC）系统，其具有并置的MEC服务器和基站/接入点（AP），每个都配备有大规模MIMO天线阵列，支持多个用户请求数据计算和无线充电。目标是最小化计算卸载的能量消耗，并最大化用户从无线充电接收的能量。所提出的解决方案是一种新型的两阶段算法，采用嵌套下降算法，原始-对偶次梯度和线性规划技术来执行数据划分和时间分配以进行计算卸载，并设计用于无线充电的最佳能量波束成形，所有这些都在MEC-AP发射功率和延迟约束内。算法结果表明，最优能量波束形成明显优于其他方案，如各向同性或定向充电没有波束功率分配。与二进制卸载相比，部分卸载中的数据划分导致更低的能量消耗和更多的充电时间，从而产生更好的无线充电性能。在具有和不具有计算卸载的多个时隙的延长时段上的充电能量可以是相当大的。因此，来自MEC-AP的无线充电为向用户设备提供能量提供了一种可行的不受束缚的方法。
Wireless charging coupled with computation offloading in edge networks offers a promising solution for realizing power-hungry and computation intensive applications on user-devices. We consider a multi-access edge computing (MEC) system with collocated MEC server and base-station/access point (AP), each equipped with a massive MIMO antenna array, supporting multiple users requesting data computation and wireless charging. The goal is to minimize the energy consumption for computation offloading and maximize the received energy at the user from wireless charging. The proposed solution is a novel two-stage algorithm employing a nested descent algorithm, primal-dual subgradient and linear programming techniques to perform data partitioning and time allocation for computation offloading and design the optimal energy beamforming for wireless charging, all within MEC-AP transmit power and latency constraints. Algorithm results show that optimal energy beamforming significantly outperforms other schemes such as isotropic or directed charging without beam power allocation. Compared to binary offloading, data partition in partial offloading leads to lower energy consumption and more charging time, resulting in better wireless charging performance. The charged energy over an extended period of multiple time-slots both with and without computation offloading can be substantial. Wireless charging from MEC-AP thus offers a viable untethered approach for supplying energy to user-devices.